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DescriptiveStatistics and Interpretation
University of Phoenix
Katie Robinson
QNT/561
January 22, 2015
Gary Cantini
Introduction:
DescriptiveStatistics and Interpretation
This paper will provide descriptivestatistics and interpretations based on the article Effects of extended work shifts on employee fatigue, health, satisfaction, work/family, balance, and patient safety. Thestatistics are established from a collective survey about effects of extended work shifts on employee fatigue based on their age. Data will be collected on the interpretation phrases of central tendency, dispersion as well as confidence interval. A brief synopsis will be included to conclude this interpretation. This interpretation is the process of proving how age is an important factor as to how extended work shifts affect the employment levels as well as numerical facts.
Interpretation Phrases
Central Tendency:
Mean = 2,853.56
Median = 2,902
Mode = None
Dispersion:
Standard deviation = 2,279.70
Interquartile range (IQR) = 2,850
Range = 7,107 (691 to 7798)
Confidence Interval: (data must be normal)
±1489.37
Normal or significantly skewed data:
Mega Stat: Descriptivestatistics Normal curve goodness of fit p-value
Normal, p-value > .05
Significantly Skewed, p-value < .05
Histogram: Eyeball the histogram.
Normal data will have a symmetrical or slightly...

...Statistics in Business
QNT/351
Statistics in Business
What is statistics? Statistics is collecting, measuring, analyzing, and communicating data. There are two types of statistics, descriptivestatistics and inferential statistics (Lind, Marchal, & Wathen, 2011). Statistics are applied in different situations. This paper will describe the role statistics has in making business decisions. This paper will also provide examples of situations in which statistics are applied.
Types of Statistics
Lind, Marchal, and Wathen define statistics as “The science of collecting, organizing, presenting, analyzing, and interpreting data to assist in making more effective decisions (Lind, et al., 2011, p. 5). In statistics there are two types, descriptive and inferential statistics. First, descriptivestatistics is the informative organization, summarization, and presentation of data. The second type of statistics is inferential statistics. Inferential statistics is also called statistical inference, is “the methods used to estimate a property of a population on the basis of a sample” (Lind, et al., 2011 p. 7).
Statistic Examples
One example of...

...DescriptiveStatistics
An investigation of a Real Estate Data Set, issued by University of Phoenix Research class 341 has taken place. The assignment is a team responsibility to research any problems, issues, or opportunities the Real Estate industry may have and explain why the data is important. The team will apply descriptivestatistics on the collected data and draw conclusions based on the findings. Usingdescriptivestatistics, the data analysis will calculate the measures of central tendency, dispersion, and skew for the data. A deliberation of the descriptive statistical data will display information in graphic and tabular form, along with an application of frequency distribution and histogram. Based on the skew value and histogram, an analysis of the best measures of central tendency and dispersion of the data will justify the team selection.
The Population
The Real Estate Data Set indicates 105 houses were sold; however, certain houses sold faster than others. The data set information assists with price, size, and number of bedrooms, the number of bathrooms, garage size, and the distance from the center of the city in miles. The information is important for Real Estate Brokers and Agents to determine what homes are more likely to sell on the market. According to U.S. Department of Labor (Used June 28, 2011), “Real estate brokers and sales agents have a...

... |
≤0.001 | Reject Ho, Accept H1 | Very strong |
As it can be seen from table 1, when a p-value is equal to or smaller than 0.05 the Ho must be rejected and the H1 accepted.
The H1, for this investigation is that there is genuine evidence of difference in accident rates between the two operations.
The Analysis:
The analysis of the data was started by doing descriptivestatistics for the data as shown below.
Table 2: Showing thedescriptivestatistics for the brick and tile data.
Variable N N* Mean SE Mean StDev Minimum Q1 Median Q3 Maximum
Tile 16 0 412 127 508 56 124 227 390 2017
Brick 12 0 1075 417 1443 121 328 550 1453 5218
The purpose of the descriptivestatistics is to summarise the data, using measurements such as the mean and the median. The mean is the total of all the values divided by the number of values in the sample (the average), and the median is the value of the middle number when the data is put in numerical order (Dytham, 1999). It can be seen from the descriptivestatistics, that the mean and the median values are not similar for both tile and brick data; the mean in both cases is nearly double the median, for example for brick data the mean is 1075 and the median is 550. This suggests the data is not equally spread out (normally...

...Descriptive and Inferential Statistics Paper
PSY 315
Descriptive and Inferential Statistics
Whether doing original research or conducting literature reviews, one must conclude what a powerful and versatile tool statistics are in the hands of researchers. From basic statistics such as data description, to using complex statistical methods to foresee future patterns or strengthen scientific claims about current climates, the role of statistics in research cannot be taken lightly and is essential in almost any field, especially in psychology. The statistical method is divided into two main branches called descriptive and inferential statistics. Descriptivestatistics is a summary of information and the data presented is easily understood. Inferential statistics are much more detailed and are used to draw conclusions about hypotheses or determine probabilities of an outcome. Both allow researchers to describe, graph and present data for a general audience or more technical for the professionals. Without statistics, researchers lose that vital tool that allows them to move from hypothesis to conclusion.
The ability to describe data is an essential asset that comes with statistics. Once strong, reliable, and valid data is collected by the researcher, he or she must then make...

...Descriptive and Inferential Statistics Paper
Descriptive and Inferential Statistics Paper
Statistics are used for descriptive purposes, and can be helpful in understanding a large amount of information, such as crime rates. Using statistics to record and analyze information, helps to solve problems, back up the solution to the problems, and eliminate some of the guess work. In Psychology there has to be a variable or variables to be organized, measured, and expressed as quantities. Information is usually in the form of a frequency table, histogram, or bar graph to show the increase or decline in occurrences over a period of time. Psychological statistics is used to keep track of behavioral reactions to certain stimuli, and since the human behavior is so unpredictable, psychologists use statistics instead of trying to predict outcomes of situations.
Functions of Statistics
Understanding and interpreting data can be difficult if one does not possess the necessary skills to do so. The knowledge of how and why statistics are used is a very important first step to gaining these skills. The following few paragraphs will offer an explanation of the functions of statistics, which will describe how different types of statistics are used to make sense of data that can sometimes be confusing....